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Introduction to ArtificiaI Intelligence, Machine Learning and Python

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Introduction to ArtificiaI Intelligence, Machine Learning and Python

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This Course Includes

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  • icon2 hours 37 minutes
  • iconenglish
  • iconOnline - Self Paced
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About Introduction to ArtificiaI Intelligence, Machine Learning and Python

Introduction

History of Artificial Intelligence

Difference between AI, Machine learning and Deep Learning

Supervised vs Unsupervised Machine Learning

Linear regression and predicting flat prices in Excel

Classification problems in Machine learning

Clustering in Machine Learning

Ensemble methods in Machine Learning

Bagging and Boosting

Majority voting and Averaging in Ensembling

Random Forests

Python setup. Anaconda distributive

Basic commands in Python

If statement

While statement

Predicting flat prices with linear regression in Python

Predicting country's GDP based on oil prices

Predicting Titanic survivors: Classification task

Neural Network - create your own neural network to Classify Images

Neural Networks for Text Analysis

Neural Networks for Sentiment Analysis (IMDB movie reviews)

What You Will Learn?

  • Learn to understand Artificial Intelligence and Machine Learning algorithms, and learn the basics of Python Programming.
  • Artificial Intelligence has already become an indispensable part of our everyday life, whether when we browse the Internet, shop online, watch videos and images on social networks, and even when we drive a car or use our smartphones. AI is widely used in medicine, sales forecasting, space industry and construction.   .
  • Since we are surrounded by AI technologies everywhere, we need to understand how these technologies work. And for such understanding at a basic level, it is not necessary to have a technical or IT education..
  • ***.
  • In this course, you will learn about the fundamental concepts of Artificial Intelligence and Machine learning. You will get acquainted with their main types, algorithms and models that are used to solve completely different problems. We will even create models together to solve specific practical examples in Excel - for those who do not want to program anything. And for those who want to get acquainted with Python , a programming language that solves more than 53% of all machine learning tasks today, in this course you will find lectures to familiarize yourself with the basics of programming in this language.   .
  • **.
  • This course may become a kind of springboard for your career development in the field of AI and Machine learning. Having mastered this short course, you will be able to choose the particular area in which you would like to develop and work further. .
  • It is worth mentioning that today, AI and Machine Learning specialists are among the highest paid and sought after on the market (according to various estimates, there are about 300,000 AI experts on the global market today, while the demand for them is several million).    .
  • **.
  • After completing this course, you will be able to communicate freely on topics related to Artificial Intelligence, Machine and Deep learning, and neural networks. .
  • ***.
  • Spend an hour studying this course to get new or improve existing skills and broaden your horizons using the acquired knowledge. .
  • See you inside the course!.